Quantifying the Uncertainties in Data-Driven Models for Reservoir Inflow Prediction

Optimization of fuzzy membership function of runoff forecasting error based on the optimal closeness

(2019) Zhiqiang Jiang et al.   JOURNAL OF HYDROLOGY

Runoff forecast uncertainty considered load adjustment model of cascade hydropower stations and its application

(2018) Zhiqiang Jiang et al.   ENERGY

Prediction and structural uncertainty analyses of artificial neural networks using hierarchical Bayesian model averaging

(2015) Nima Chitsazan et al.   JOURNAL OF HYDROLOGY

Daily water level forecasting using wavelet decomposition and artificial intelligence techniques

(2015) Youngmin Seo et al.   JOURNAL OF HYDROLOGY

Monthly streamflow forecasting using Gaussian Process Regression

(2014) Alexander Y. Sun et al.   JOURNAL OF HYDROLOGY

Improving ANFIS Based Model for Long-term Dam Inflow Prediction by Incorporating Monthly Rainfall Forecasts

(2014) Jehangir Ashraf Awan et al.   WATER RESOURCES MANAGEMENT

A two stage Bayesian stochastic optimization model for cascaded hydropower systems considering varying uncertainty of flow forecasts

(2014) Wei Xu et al.   WATER RESOURCES RESEARCH

Comparison of Wavelet-Based ANN and Regression Models for Reservoir Inflow Forecasting

(2013) Krishna Budu   JOURNAL OF HYDROLOGIC ENGINEERING

Effects of measurement uncertainties of meteorological data on estimates of site water balance components

(2013) Uwe Spank et al.   JOURNAL OF HYDROLOGY

A comparative study of artificial neural network, adaptive neuro fuzzy inference system and support vector machine for forecasting river flow in the semiarid mountain region

(2013) Zhibin He et al.   JOURNAL OF HYDROLOGY

A new hybrid artificial neural networks for rainfall–runoff process modeling

(2013) Shahrokh Asadi et al.   NEUROCOMPUTING

Evaluation of optimization operation models for cascaded hydropower reservoirs to utilize medium range forecasting inflow

(2013) Wei Xu et al.   Science China-Technological Sciences

Predicting Monsoon Floods in Rivers Embedding Wavelet Transform, Genetic Algorithm and Neural Network

(2013) Rajeev Ranjan Sahay et al.   WATER RESOURCES MANAGEMENT

Intermittent reservoir daily-inflow prediction using lumped and distributed data multi-linear regression models

(2012) R B MAGAR et al.   Journal of Earth System Science

Multi-time-step ahead daily and hourly intermittent reservoir inflow prediction by artificial intelligent techniques using lumped and distributed data

(2012) V. Jothiprakash et al.   JOURNAL OF HYDROLOGY

Quantifying uncertainty sources in an ensemble of hydrological climate-impact projections

(2012) T. Bosshard et al.   WATER RESOURCES RESEARCH

A Simple, Coherent Framework for Partitioning Uncertainty in Climate Predictions

(2011) Stan Yip et al.   JOURNAL OF CLIMATE

Assessment of input variables determination on the SVM model performance using PCA, Gamma test, and forward selection techniques for monthly stream flow prediction

(2011) R. Noori et al.   JOURNAL OF HYDROLOGY

A Bayesian Approach to Predictor Selection for Seasonal Streamflow Forecasting

(2011) David E. Robertson et al.   JOURNAL OF HYDROMETEOROLOGY

Toward a reliable decomposition of predictive uncertainty in hydrological modeling: Characterizing rainfall errors using conditional simulation

(2011) Benjamin Renard et al.   WATER RESOURCES RESEARCH

Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada

(2011) Jan Adamowski et al.   WATER RESOURCES RESEARCH

Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds

(2010) Jan Adamowski et al.   JOURNAL OF HYDROLOGY

A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer

(2010) Heesung Yoon et al.   JOURNAL OF HYDROLOGY

Predicting monthly streamflow using data-driven models coupled with data-preprocessing techniques

(2009) C. L. Wu et al.   WATER RESOURCES RESEARCH

Assessing uncertainties in climate change impact analyses on the river flow regimes in the UK. Part 2: future climate

(2008) Christel Prudhomme et al.   CLIMATIC CHANGE

Non-linear variable selection for artificial neural networks using partial mutual information

(2008) Robert J. May et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Review of input determination techniques for neural network models based on mutual information and genetic algorithms

(2008) Maria Paula da Costa Couto   NEURAL COMPUTING & APPLICATIONS

Data-driven modelling: some past experiences and new approaches

(2007) Dimitri P. Solomatine et al.   JOURNAL OF HYDROINFORMATICS